Evidence map›Paper›PMID 42494071›Full record

ArticleColorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland2026

A simple MRI/PET-derived index predicts relapse-free survival after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Ikuma Shioi, Takuya Shiraishi, Kosei Uehara, Yutaro Shimizu, Nobuhiro Hosoi, Gendensuren Dorjkhorloo, Chika Katayama, Yuta Shibasaki, Chika Komine, Takuhisa Okada and 6 more

Abstract read
In one paragraph

Article in Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Ikuma ShioiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID https://orcid.org/0000-0003-0537-512X
Takuya ShiraishiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID https://orcid.org/0000-0003-3543-1874
Kosei UeharaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID https://orcid.org/0009-0000-2358-7199
Yutaro ShimizuDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Nobuhiro HosoiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Gendensuren DorjkhorlooDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Chika KatayamaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Yuta ShibasakiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Chika KomineDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Takuhisa OkadaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Akiharu KimuraDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID https://orcid.org/0000-0002-6832-4146
Akihiko SanoDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID https://orcid.org/0000-0002-9531-5157
Takehiko YokoboriDivision of Integrated Oncology Research, Gunma University, Initiative for Advanced Research (GIAR), Maebashi, Gunma, Japan.
Makoto SakaiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID https://orcid.org/0000-0003-0860-3132
Ken ShirabeDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.ORCID https://orcid.org/0000-0002-7173-7945
Hiroshi SaekiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.

Funding

Japan Society for the Promotion of Science 24K19348Japan Society for the Promotion of Science 25K19724
6 · The paper itself

Abstract

aimReliable pretreatment biomarkers for predicting resistance to standard chemoradiotherapy (CRT) in locally advanced rectal cancer (LARC) remain lacking. This study evaluated the prognostic value of the tumour area (TA)-to-maximum standardized uptake value (SUVmax) [T/S] ratio, a novel imaging index derived from magnetic resonance imaging (MRI) and

methodWe retrospectively analysed 68 patients with LARC who underwent preoperative CRT followed by curative resection between 2013 and 2024. TA was measured on axial T2-weighted MRI, and SUVmax was obtained from PET-CT. The T/S ratio was calculated as TA/SUVmax. Receiver operating characteristic analysis determined the optimal cut-off for relapse-free survival (RFS). Cox proportional hazards models identified independent prognostic factors. Immunohistochemical analysis of L-type amino acid transporter 1 (LAT1) was performed in 33 patients without CRT to explore biological relevance.

resultsThe T/S ratio showed superior predictive accuracy for RFS (area under the curve, 0.714) than for TA (0.616) and SUVmax (0.574). Patients with a high T/S ratio (cut-off 55.81) demonstrated significantly poorer 3-year RFS (51.8% vs. 84.0%, p = 0.002). Multivariate analysis confirmed high T/S ratio as an independent RFS predictor (HR 4.59; 95% CI: 1.27-16.55; p = 0.019). Tumours with high T/S ratios tended to exhibit elevated LAT1 expression, potentially reflecting a CRT-resistant phenotype.

conclusionsThe pretreatment T/S ratio is a simple, noninvasive biomarker that independently predicts RFS in patients with LARC undergoing CRT. This index may assist in risk stratification and individualized neoadjuvant strategy selection.

Indexed as

ChemoradiotherapyMagnetic Resonance ImagingNeoadjuvant TherapyPositron Emission Tomography Computed TomographyRectal NeoplasmsAdultAgedChemoradiotherapy, AdjuvantDisease-Free SurvivalFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedNeoplasm Recurrence, LocalPredictive Value of TestsFluorodeoxyglucose F18Radiopharmaceuticals18F‐FDG PET‐CTchemoradiotherapylocally advanced rectal cancermagnetic resonance imagingrelapse‐free survival

Identifiers

PMID42494071
PMCPMC13396530

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.